Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nanyang Technological University
- Nature Careers
- The University of Queensland
- University of Bergen
- KINGS COLLEGE LONDON
- King's College London
- University of Birmingham
- ;
- AbbVie
- Harvard University
- UNIVERSITY OF SOUTHAMPTON
- University of Alabama, Tuscaloosa
- University of New South Wales
- University of Texas at Austin
- University of Waterloo
- Western Norway University of Applied Sciences
- 6 more »
- « less
-
Field
-
, clustering), statistical modelling, and other computational techniques Process large scale text data sets in multiple languages Create documentation for data and processes guided by principles
-
a focus on data analytics, AI, ML, advanced process control, and digital twin technologies in semiconductor manufacturing. Experience with handling industrial big data problems, physics-informed AI/ML
-
variability and predictability is an advantage. Experience with Linux clusters, and running Earth System Models, is an advantage. Experience with handling large datasets, such as CMIP data, is an advantage
-
the last 5 years or soon to be completed. Demonstrated experience in building machine learning/deep learning models using one or more large scientific data sets involving sequence, protein structures
-
, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social
-
on clusters and high-performance computing infrastructure), Information Retrieval methods, Machine Learning algorithms, wrangling large-scale datasets, and showcasing the research results. The ability to work
-
and statistical genetics. Potential research projects include (but are not limited to) developing statistical methods and theory for large-scale multiple testing, variable selection, spectral clustering